Determining the significance and relative importance of parameters of a simulated quenching algorithm using statistical tools.
Pedro A. CastilloMaribel García ArenasNuria RicoAntonio Miguel MoraPablo García-SánchezJuan Luis Jiménez LaredoJuan Julián Merelo GuervósPublished in: Appl. Intell. (2012)
Keyphrases
- relative importance
- expectation maximization
- detection algorithm
- parameter settings
- computational complexity
- learning algorithm
- dynamic programming
- input data
- parameter estimation
- objective function
- preprocessing
- k means
- worst case
- particle swarm optimization
- optimal parameters
- clustering method
- segmentation algorithm
- maximum likelihood
- np hard
- active learning